Author/Editor		Andre, Gilles; Hess, Sigrid; Mering, Catherine
Title		Grey tone filtering on ERS-SAR images applied to change detection and mapping
Type		članek
Source		Image Anal Stereol
Vol. and No.		Letnik 20, št. Suppl 1
Publication year		2001
Volume		str. 7-12
Language		eng
Abstract		On SAR images, the pixel values, are tightly related to physical parameters of the soil such as topography, roughness and humidity, regardless to atmospheric conditions. SAR images may therefore be used to detect and quantify changes in land cover, by comparison of time series SAR data. Classical change detection techniques from SAR images are based on additive synthesis of RGB colours and arithmetic operations between both images. The noisy aspect of ERS image due to the original speckle are an obstacle for available mapping and quantification of the changes. Statistical and morphological filters are used here to reduce the speckle noise. The combined technics of change detection and noise filtering are applied here to assess and map the impact of regular or catastrophic flood and deforestation in the Central Delta of Niger (Mali) and in the east coast of Madagascar from ERS-SAR images.
Descriptors		GEOLOGY PARTICLE SIZE RADAR IMAGE PROCESSING, COMPUTER-ASSISTED